• Laser & Optoelectronics Progress
  • Vol. 58, Issue 20, 2015008 (2021)
Zhang Hongying*, Yang Weimin, and Wang Huisan
Author Affiliations
  • College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
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    Abstract

    This paper proposes a reconstruction method for optimized three-dimensional (3D) morphable model parameters to address the instability of the reconstructed model’s shape expression ability due to the inaccurate detection of facial feature points in the face-image reconstruction method based on the 3D morphable model. First, an improved position map regression network is used to extract and locate the facial feature points accurately and on this basis, the initial model parameters are calculated. The parameters obtained using the regression method are then integrated to obtain the optimised model parameters and improve the model’s accuracy and generalisation capabilities. Finally, to obtain the final face model, the 3D morphable model is optimized. This approach can produce accurate 3D face reconstruction using real faces as experimental data.

    1 引言

    根据单张人脸图像重建出三维(3D)人脸,是3D人脸重建领域中的一个热点及难点问题,目前已在多个领域中得到了广泛的应用[1-3]。3D人脸重建方法可分为基于阴影恢复形状(SFS)的方法[4]、基于3D变形模型(3DMM)匹配的方法[5]以及基于回归的方法[6]。其中,3DMM方法具有面部表达能力强、面部重建完整的优势,被广泛应用于计算机视觉[5]、计算机图形学[7]、人类行为分析[8]等领域。

    Copy Citation Text
    Hongying Zhang, Weimin Yang, Huisan Wang. Face Reconstruction Method Based on Optimized Three-Dimensional Morphable Model Parameters[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015008
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    Category: Machine Vision
    Received: Aug. 3, 2020
    Accepted: Sep. 23, 2020
    Published Online: Oct. 14, 2021
    The Author Email: Zhang Hongying (carole_zhang0716@163.com)